my paper~~ 1.(DAP,IAP)Learning To Detect Unseen Object Classes by Between-Class Attribute Transfer 2.(ALE)Label-Embedding for Attribute-Based Classification 3.(SAE)Semantic Autoencoder for Zero-shot Learning CVPR2017 https://github.com/waitwait…
Multi-attention Network for One Shot Learning 2018-05-15 22:35:50 本文的贡献点在于: 1. 表明类别标签信息对 one shot learning 可以提供帮助,并且设计一种方法来挖掘该信息: 2. 提出一种 attention network 来产生 attention maps for creating the image representation of an exemplar image in novel class…
(5)ps详解 (每周一个linux命令系列) linux命令 ps详解 引言:今天的命令是用来看进程状态的ps命令 ps 我们先看man ps ps - report a snapshot of the current processes. 翻译:显示当前进程的快照.ps是 Process Status的缩写 具体的描述如下: DESCRIPTION ps displays information about a selection of the active processes. If yo…
Meta Learning/ Learning to Learn/ One Shot Learning/ Lifelong Learning 2018-08-03 19:16:56 本文转自:https://github.com/floodsung/Meta-Learning-Papers 1 Legacy Papers [1] Nicolas Schweighofer and Kenji Doya. Meta-learning in reinforcement learning. Neural…
本文介绍一个笔者在实际工作中的实施的基于ActiveMQ的一个高稳定,可扩展的异步消息系统. ActiveMQ是一个成熟的基于Java语言的开源消息系统,在实际应用中被大量使用.ActiveMQ在系统稳定性,系统的容错和扩展等方面都有很多成熟的方案,也有很多开源的管理工具,是部署异步消息系统的一个很好的选择. ActiveMQ工作机制 ActiveMQ有两种消息使用方式: l Queue模式:Producer发出到Queue里的消息,只能由一个Consumer来使用. l Topic模式:P…
1. Introduction In this work, inspired by metric learning based on deep neural features and memory augment neural networks, authors propose matching networks that map a small labelled support set and an unlabelled example to its label. Then they defi…